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  • My Sheet Music Transcriptions
  • Barcelona
  • 07:23 (UTC +01:00)
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oriolcolomefont/README.md

Catalan musician turned music scientist, bridging the gap between art and technology.

I’ve spent over a decade making a living from, and for this wiggly air and cognitive phenomenon we call music. In the past few years, I’ve been shifting course towards the music tech space, though I’m still drawn to the endless possibilities that music’s multimodality offers. I enjoy working with all kinds of folks—musicians, industry pros, academics, product people, you name it.

I’m obsessed with high-level abstract retrieval in music data and how they can bring value to anything—artists, listeners, products, or whatever else music touches.

🎯 Current Focus

My current work focuses on Music Information Retrieval (MIR), developing high-level music analysis systems, systematic musicology research, and creating cross-modal music applications. These interconnected areas allow me to explore and advance the technological frontiers of music understanding and interaction.

💼 Professional Interests

My professional interests center around building bridges between music technology and industry applications, developing innovative solutions for artists, listeners, and music professionals, exploring music's multimodal nature through technology, and collaborating with diverse teams across the music ecosystem.

🛠️ Tech Stack

Python Bash LaTeX

📫 Connect With Me

LinkedIn Email

📊 GitHub Stats


Let's connect and collaborate on exciting music technology projects!

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  1. Uncovering-High-Level-Content-in-the-Time-Domain Uncovering-High-Level-Content-in-the-Time-Domain Public

    Leveraging self-supervised deep neural networks, inductive bias, and aural skills to learn deep audio embeddings with applications to boundary detection tasks.

    Jupyter Notebook 2

  2. arab-andal-motif-dev arab-andal-motif-dev Public

    Forked from satyajeetprabhu/arab-andal-motif-dev

    Towards a systematic exploration of motif development in Arab-Andalusian Music

    Jupyter Notebook

  3. Audio-Signal-Processing-For-Music-Applications Audio-Signal-Processing-For-Music-Applications Public

    Assignments for Audio Signal Processing for Music Applications on MTG-UPF Msc Sound And Music Computing. Note: It's for my personal learning purpose.

    Jupyter Notebook

  4. Melody-extraction-in-symphonic-music-recordings Melody-extraction-in-symphonic-music-recordings Public

    Algorithmic predominant melody extraction in in symphonic music recordings

    Jupyter Notebook

  5. The-Sound-of-AI-workshop The-Sound-of-AI-workshop Public

    The Sound of AI workshop on Generative Music

    Python 1